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» Analysis of Variance for Gene Expression Microarray Data
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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 6 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
186
Voted
WABI
2001
Springer
162views Bioinformatics» more  WABI 2001»
15 years 10 months ago
A Simple Hyper-Geometric Approach for Discovering Putative Transcription Factor Binding Sites
A central issue in molecular biology is understanding the regulatory mechanisms that control gene expression. The recent flood of genomic and postgenomic data opens the way for co...
Yoseph Barash, Gill Bejerano, Nir Friedman
ICPR
2006
IEEE
16 years 7 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
280
Voted
IJCNN
2006
IEEE
16 years 6 days ago
Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques
- Gene regulatory networks allow us to study and understand genes’ roles in biological processes. Among others, regulatory networks help to identify pathway initiator genes and t...
Azhar Salim, Faramarz Valafar
BMCBI
2005
86views more  BMCBI 2005»
15 years 6 months ago
Confirmation of human protein interaction data by human expression data
Background: With microarray technology the expression of thousands of genes can be measured simultaneously. It is well known that the expression levels of genes of interacting pro...
Andreas Hahn, Jörg Rahnenführer, Priti T...